Abstract: When a turbulence closure model is used for cloud simulations, the effect of turbulence-scale saturation must be taken into account in determining the turbulent buoyancy flux. Sommeria and Deardorff derived statistical ...

Abstract: Application of an empirical orthogonal function (EOF) analysis to a data matrix that contains two or more variable fields has been referred to as extended EOF (EEOF) analysis. Coherence between individual features contained ...

Abstract: In Part I a multiple-set canonical correlation analysis (MCCA) was proposed to generalize the conventional two-set canonical correlation analysis. The MCCA seeks the optimal correlation among more than two data fields ...

Abstract: This study attempts to isolate the dynamic and microphysical effects of seeding. A two-dimensional, time-dependent cloud model has been used to simulate silver iodide (AgI) seeding of convective clouds. Two major dynamic ...

Abstract: A multiple-set canonical correlation analysis (MCCA), which can be used to study atmospheric motions by analyzing the relationships among more than two sets of data fields, is proposed. By using the product or squared ...

Abstract: A simple statistical-synoptic technique for tropical cyclone (TC) track forecasting to 72 h in the western North Pacific is derived. This technique applies to the standard (S) pattern/dominant ridge region (S/DR) and ...